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Feminist Narrative Analytics: Letters, Archives and Gendered Labour Politics

By: Maria Tamboukou Edited by: Jamie Lewis Published: 2015 | Product: SAGE Research Methods Datasets

This dataset is designed for teaching feminist narrative analysis. This data is provided by Professor Maria Tamboukou from the University of East London, and is taken from research she conducted in the New York Public Library with letters of women trade unionists in the New York garment industry in the first half of the twentieth century. The example encourages thinking about how to follow narrative tropes and feminist analytics in collecting, reassembling and analysing letters from the archive. The dataset file is accompanied by a teaching guide and a student guide.

Data Type: Letters
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In this tab you will find guides on using this dataset. The Teaching Guide is designed for faculty who are teaching research methods and statistics, with suggestions on how to use the dataset in lab exercises, in homework assignments and as exam questions. The Student Guide introduces the method for students, and can be used in teaching to provide students with an introductory overview of the method or test.

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About This Dataset
Citation Provided by Data Source

Fannia M. Cohn papers. Manuscripts and Archives Division. The New York Public Library. Astor, Lenox, and Tilden Foundations.

Data author(s) and affiliations

Professor Maria Tamboukou, University of East London

Dataset source website address

Funding sources/suppliers

British Academy, small grant: SG112079

Data collection dates

June–July 2012

Unit of analysis

Women trade unionists in the garment industry, US

Location covered by data

The New York Public Library. Astor, Lenox, and Tilden Foundations.

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